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arXiv 1709.08372astro-ph.SR
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贝叶斯日冕地震学

Bayesian Coronal Seismology

I. Arregui

摘要:

与实验室的情况相反,对太阳大气的研究必须在没有直接接触到感兴趣的物理条件的情况下进行。因此,信息是不完整和不确定的,需要采用推理方法来诊断物理条件和过程。太阳大气地震学就是这样一种方法,它利用观测到的和理论上预测的波的特性来推断等离子体和磁场的特性。太阳大气地震学的一个最新发展是使用基于贝叶斯分析的反演和模型比较方法。本文首先阐述了贝叶斯分析的哲学思想和方法论。然后,我们提供了一个帐户迄今已取得的成就,这些技术的应用,太阳大气地震和未来可能的扩展前景。

英文摘要:

In contrast to the situation in a laboratory, the study of the solar atmosphere has to be pursued without direct access to the physical conditions of interest. Information is therefore incomplete and uncertain and inference methods need to be employed to diagnose the physical conditions and processes. One of such methods, solar atmospheric seismology, makes use of observed and theoretically predicted properties of waves to infer plasma and magnetic field properties. A recent development in solar atmospheric seismology consists in the use of inversion and model comparison methods based on Bayesian analysis. In this paper, the philosophy and methodology of Bayesian analysis are first explained. Then, we provide an account of what has been achieved so far from the application of these techniques to solar atmospheric seismology and a prospect of possible future extensions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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